Connecting Touch and Vision via Cross-Modal Prediction
CVPR'19, 2019. [All Versions]. [Project]. Humans perceive the world using multi-modal sensory inputs such as vision, audition, and touch. This work investigates the cross-modal connection between vision and touch. The main challenge in this cross-domain modeling task lies in…
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Simple shape feature computation across modalities: convergence and divergence between the ventral and dorsal visual… academic.oup.com
Cerebral Cortex, 2023. [All Versions]. [Preprints]. Shape processing, whether by seeing or touching, is pivotal to object recognition and manipulation. Although the low-level signals are initially processed by different modality-specific neural circuits, multimodal responses to…
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ImageBind: One Embedding Space To Bind Them All openaccess.thecvf.com
CVPR'23, 2023. [All Versions]. [Project]. This work presents ImageBind, an approach to learn a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. The authors show that all combinations of paired data are not necessary to train…
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A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs science.org
Science, 2017. [All Versions]. [Preprint]. Learning from a few examples and generalizing to markedly different situations are capabilities of human visual intelligence that are yet to be matched by leading machine learning models. By drawing inspiration from systems…
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Visual Commonsense R-CNN ieeexplore.ieee.org
CVPR'20, 2020. [All Versions].
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Computer Vision Foundation open access cv-foundation.org
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Computer Vision: Models, Learning, and Inference computervisionmodels.com
AGI & CoCoSci › Papers > Concepts > AI Concept Representation: “CVPR'19, 2019. [All Versions]. [Project]. Humans perceive the world using multi-modal sensory inputs such as vision, audition, and touch. This work investigates the cross-modal connection between vision and touch. The main challenge in this cross-domain modeling task lies in…”